future applications
DESCRIPTION
The Core Welfare Indicators Questionnaire: A CWIQ Option for Monitoring Poverty Reduction Strategies. GENERAL HOUSEHOLD SURVEY (GHS). ECONOMIC SURVEYS. POPULATION CENSUS. FUTURE APPLICATIONS. CWIQ Technology could be adopted for other surveys/censuses. - PowerPoint PPT PresentationTRANSCRIPT
The Core Welfare Indicators Questionnaire:
A CWIQ Option for Monitoring Poverty
Reduction Strategies
The Core Welfare Indicators Questionnaire:
A CWIQ Option for Monitoring Poverty
Reduction Strategies
FUTURE APPLICATIONSFUTURE APPLICATIONS
Monitoring socio-economic programmes overtime
GENERAL HOUSEHOLD SURVEY (GHS)
• CWIQ Technology could be adopted for other surveys/censuses
Measuring impacts of policies & programmes
ECONOMIC SURVEYSPrices (CPI, INFLATION)
Industrial Production
POPULATION CENSUS
Inputs
The Logframe defines M&E The Logframe defines M&E activities at four levelsactivities at four levels
Impact
Outcomes
Outputs
Impact on living standards
Who are the beneficiaries?(access, usage & satisfaction)
Goods & services generatedby the project/Program
Resources provided forProject/Program activities
It is used to monitor outcomes of development actions, (such as PRSPs) ….
It is used to monitor outcomes of development actions, (such as PRSPs) ….
…..through the use of leading indicators, such as access, use and satisfaction
…..through the use of leading indicators, such as access, use and satisfaction
The CWIQ is a household survey
The CWIQ is a household survey
Using CWIQ to monitor primary education in Ghana
Using CWIQ to monitor primary education in Ghana
0
10
20
30
40
50
60
70
80
90100
National Rural Rural poor Urban Urban poor
Access to schools (within 30 minutes)Usage (enrollment rates)Quality of service (% satisfied)
Access to schools (within 30 minutes)Usage (enrollment rates)Quality of service (% satisfied)
WARNING! % satisfied
All households 40%Rural households 30%Poor rural households 18%
Using CWIQ to monitor primary education in Ghana
Using CWIQ to monitor primary education in Ghana
0
5
10
15
20
25
30
35
40
45
50
National Rural Rural poor Urban Urban poor
Poor teaching Overcrowding Poor facilities Lack of books
What are they complaining about?
Lack of booksa problem everywhere
Poor facilities - seriousproblem in poor rural
communities
Benue total
Margin of error
(+/-%)All
RuralRural poor
All Urban
Urban poor
Worse now 27.6 5.5 30.6 23.4 14.6 23.8Better now 49.5 5.4 46.7 59.2 61.5 65.7
Household economic situation compared to one year ago
Sample CWIQ outputs - Nigeria
Sample CWIQ outputs - Nigeria
Overall more household feelthey are better off now,
especially among the poorNote margin of
error at 95% confidencelevel
Core Welfare Indicators by District
0
25
50
75
100Safe water source
Adult literacy
Net Primary Enrollment
Net Secondary Enrollment
Access to Health Services
Not Underweight
Kibaha Mtwara Total sample
Sample CWIQ outputs - Tanzania
Sample CWIQ outputs - Tanzania
Countries in which the CWIQ is planned or has been
implemented
Countries in which the CWIQ is planned or has been
implemented Kenya (pilot) Ghana (1997) Nigeria (1999,2001) Tanzania (2001) Lesotho (Nov.2001) Malawi (Sept.2001) Zambia (pilot)
Senegal Mali Rwanda CAR Guinea Bissau Mozambique
(2000/2001)
EXPERIENCES FROM COUNTRIESEXPERIENCES FROM COUNTRIES
As part of an on-going survey programme (master sample available, permanent survey organization)
Modification of questionnaire Nigeria (additional question on electricity, educational
attainment categorization, Gender module) Mozambique (module on Flood damage) Rwanda (Consumption module) HIV/AIDS module waiting to be tested Predictor variables are getting country-specific Questionnaire Translation (Tanzania) Probability Sample Pilots (Nigeria) National Surveys (Ghana, Mozambique)
How does the CWIQ work?How does the CWIQ work?
Large sampleShort
questionnaireRigorous control of data quality
Quick data entry & validation
Simple reporting
Fixed core, flexible modules
An off-the-shelf survey package
1. Sampling issues1. Sampling issues
Large samples are encouraged (for high precision)
A ‘core’ survey in a 5-10 year survey programAnnual sampling from Master Sample frames
builds up time seriesNot really intended for panel studies - but
these are not excludedSuitable for small area sampling
2. The questionnaire2. The questionnaire
8 pages / 9 sections (additional modules are increasing the pages)
3 levels hierarchy (household, household members, children)
Service delivery indicators (access, use and satisfaction)
Indicators on welfare status (Assets, housing, literacy, nutrition, employment)
Additional modules (HIV/AIDS; Gender; Flood Effects)
Suitable to monitor crisis situation (speed)
2. The questionnaire (contd.)2. The questionnaire (contd.)
The CWIQ does not collect consumption or expenditure data
The issue of poverty predictors– Kenya experience– Ghana experience– Nigeria/Mozambique experience– Rwanda experience
2. The questionnaire designed for scanning2. The questionnaire
designed for scanning
3. Quality control3. Quality control Data quality is achieved through tight control:
– thorough training;
– close supervision in the field;
– rapid data loading with extensive computerised validation checks; and.
– early feedback to interviewers in the case of problems.
Average number of interviews per enumerator/day - four.
Mean interview duration - about 40 minutes (with anthropometry).
With additional module – slight increase of 5 minutes.
Average comes down with national surveys.
RequiresTELEform for image processing of the scanned forms, converting the marked areas into data values;
Objective is to start data processing as soon as possible after the start of fieldwork.
A questionnaire can be scanned and converted into the database format in about 2 minutes.
Three people in the data processing team can handle 300 questionnaires per day.
The package includes comprehensive documentation on all aspects of the data processing.
4. Data Processing - Stage 14. Data Processing - Stage 14. Data Processing - Stage 14. Data Processing - Stage 1
How character recognition is verified and corrected using TELEform4. Data Processing - Stage 14. Data Processing - Stage 14. Data Processing - Stage 14. Data Processing - Stage 1
Requires Microsoft Access to build data structures, validate, correct, summarise and tabulate the data;
Once scanned the data are transferred to MS-Access which has been configured to:– perform a number of validation checks to test logical
consistency of the data– provide a means of editing erroneous records– generate derived variables
4. Data Processing - Stage 24. Data Processing - Stage 2
5. Generating results
Pre-programmed standard report using Access and Excel
Data can be exported to standard statistical analysis packages
Data and metadata stored and disseminated on CD-ROM
Standardized indicators simplify cross-country comparisons
CAPACITY BUILDING FEATURES OF CWIQCAPACITY BUILDING FEATURES OF CWIQ• Acquired capacity through CWIQ could benefit other Data Production
Process Improved Surveys Programming Tight Quality Control (better accuracy) Use of large sample (higher precision of estimates) Quick processing and quick release of results (Improved Timeliness) Overall Survey Management (rigorous training, close supervision, report
writing)• Additional Capacity
Building team of Consultants trained at EASTC to bring about rapid technology transfer to Africa
Training Statisticians/DP specialists from African Statistical Offices Getting students of Training Institutions familiar with CWIQ methodology
• Subsequent CWIQ rounds in African countries to be guided by African Experts (Ownership)
CHALLENGES AND OPPORTUNITIESCHALLENGES AND OPPORTUNITIES
Challenges Adopting the technology for other surveys in developing countries
particularly in Africa Sustainability of the survey system through getting the national
governments to fund the surveys Cooperation among International Community to improve the system
further What role for ECA (say) to serve as catalyst in the statistical
development in this direction
Opportunities Opportunity to involve the users in questionnaire review to assure
RELEVANCE of output African National Statistical Offices to establish Internet addresses to
bring about easy exchanges, namely: Dissemination of CWIQ results Dissemination of new developments/improvements in CWIQ system Implementation problems and solutions Results of field/methodological research
Networking (establish list – serve) African CSO’s, CWIQ consultants, Experts and persons directly working on CWIQ survey system including USERS.
Summary information It is quick! It’s a packageHelps build institutional capacity:
– to collect quality data– to speed up turnaround time– to generate annual series
TA is needed (2X6 weeks)Duration: 2-6 monthsCost per household (approximate):
– First year $54: (pilot survey on 1000 hh. costs $54,000)– Next year $33: (national survey on 10,000 hh. costs $330,000)– Cost to Respondents (40-45 minutes)
The CWIQ is just one of several tools needed for a poverty reduction
information system
The CWIQ is just one of several tools needed for a poverty reduction
information systemPoverty monitoring and moneymetric
analysis LSMS: Income and expenditure surveys
Poverty monitoring over time CWIQ; Admin. records; Prices collection
Poverty monitoring and poverty maps Censuses; small area surveys
Participative poverty monitoring (listening to the poor)
More information on the CWIQ is available at:
http://www.worldbank.org/af
r/stats/